Base station location determination method, device, electronic device, readable storage medium, and program product

Abstract

The present application relates to a method, device, electronic device, computer-readable storage medium and computer program product for determining the location of a base station. The method comprises: obtaining measurement report data within each base station cell in the target area; the measurement report data comprises a 4G measurement report point and a 4G time advance; based on the measurement report data, determining a co-sited cell in each base station cell; the degree of overlap between the circular areas corresponding to the base station cells belonging to the same co-sited cell satisfies a preset condition; the circular area is centered on the corresponding 4G measurement report point, and the radius of the circular area is determined according to the distance represented by the corresponding 4G time advance; based on the measurement report data within the co-sited cell, predicting the location information of the 5G base station corresponding to the co-sited cell. The use of this method can improve the accuracy of 5G base station positioning.

Description

Technical Field

[0001] The present application relates to the field of wireless communication technology, and in particular to a base station location determination method, device, electronic device, computer-readable storage medium, and computer program product. Background Art

[0002] With the mature application of mobile communication technology and the development of network construction, the construction, maintenance and management of base stations have become a focus, among which the detection of base station locations is particularly important.

[0003] Base station location information is the foundation of wireless network management. In existing base station location management, if the base station's location is inaccurate, it will affect the operation of various communication services. For example, it will cause unstable signal transmission and thus affect the quality of communication. However, since the manually recorded latitude and longitude data are not necessarily accurate, correction is required to ensure the accuracy of the base station location information.

[0004] However, currently, since 5G terminals do not have AGPS (Assisted Global Positioning System) capabilities, the reported MR (Measurement Report) data does not include longitude and latitude data, making it difficult to accurately determine the location of 5G base stations.

[0005] Therefore, there is a problem of inaccurate positioning of 5G base stations in related technologies. Summary of the Invention

[0006] Based on this, it is necessary to provide a base station location determination method, device, electronic device, computer-readable storage medium and computer program product that can improve the positioning accuracy of 5G base stations in response to the above technical problems.

[0007] In a first aspect, the present application provides a method for determining a base station location, comprising:

[0008] Obtaining measurement report data within each base station cell in the target area; the measurement report data includes 4G measurement report points and 4G time advance;

[0009] Determining a co-sited cell in each of the base station cells based on the measurement report data; a degree of overlap between circular areas corresponding to base station cells belonging to the same co-sited cell satisfies a preset condition; the circular area has a corresponding 4G measurement report point as a center, and a radius of the circular area is determined according to a distance represented by a corresponding 4G timing advance;

[0010] Based on the measurement report data within the co-site cell, predict the location information of the 5G base station corresponding to the co-site cell.

[0011] In one embodiment, predicting the location information of the 5G base station corresponding to the co-sited cell based on the measurement report data in the co-sited cell includes:

[0012] Determining a target area in the circular area corresponding to each of the 4G measurement reporting points in the co-site cell; the target area is the area where the circular areas overlap most densely; each of the circular areas has the corresponding 4G measurement reporting point as its center, and the radius of each of the circular areas is determined according to the distance represented by the corresponding 4G timing advance;

[0013] The location information of the 5G base station is predicted based on the location information of the center point in the target area.

[0014] In one embodiment, determining the target area in the circular area corresponding to each of the 4G measurement reporting points in the co-site cell includes:

[0015] Performing a rasterization process on the overlapping area of ​​each of the circular areas to obtain a grid in the overlapping area;

[0016] Selecting candidate grids from the grids in the overlapping area; wherein the number of overlaps of the candidate grids satisfies a preset number threshold;

[0017] The area corresponding to the candidate grid is used as the target area.

[0018] In one embodiment, predicting the location information of the 5G base station based on the location information of the center point in the target area includes:

[0019] Obtain the calibration position of the 5G base station recorded in the engineering parameter ledger data;

[0020] Determine a target grid in the target area; the distance between the center point of the target grid and the calibration position meets a preset distance condition;

[0021] The location information of the 5G base station is predicted based on the location information of the center point of the target grid.

[0022] In one embodiment, the measurement report data further includes a station address code; and determining a co-sited cell in each of the base station cells according to the measurement report data includes:

[0023] Aggregating measurement report data of base station cells corresponding to the same site code to obtain measurement report data of aggregated cells;

[0024] The co-site cell is determined according to the measurement report data of the aggregated cell.

[0025] In one embodiment, determining the co-sited cell according to the measurement report data of the aggregated cell includes:

[0026] For any two base station cells in the aggregated cell, randomly extract 4G measurement report points from the measurement report data of any two base station cells within a preset number of times, and construct a circular area corresponding to each of the extracted 4G measurement report points; the circular area has the 4G measurement report point as the center and the distance represented by the corresponding 4G timing advance as the radius;

[0027] Perform overlap detection on the circular areas corresponding to the 4G measurement report points extracted each time, and record the number of overlaps detected;

[0028] When the number of overlaps meets a preset number threshold, any two base station cells are determined to be co-sited cells.

[0029] In one embodiment, the method further comprises:

[0030] For any 4G measurement reporting point within the co-site cell, determine a first radius and a second radius based on the distance represented by the 4G timing advance corresponding to the any 4G measurement reporting point; the first radius and the second radius are respectively multiples of the distance represented by the 4G timing advance;

[0031] With any one of the 4G measurement reporting points as the center of the circle, a circular area corresponding to the any one of the 4G measurement reporting points is constructed according to the first radius and the second radius.

[0032] In a second aspect, the present application further provides a base station location determination device, comprising:

[0033] An acquisition module is configured to acquire measurement report data within each base station cell in a target area; the measurement report data includes 4G measurement report points and 4G timing advance;

[0034] a determination module, configured to determine, based on the measurement report data, a co-sited cell in each of the base station cells; wherein the degree of overlap between the circular areas corresponding to the base station cells belonging to the same co-sited cell satisfies a preset condition; wherein the circular area has the corresponding 4G measurement report point as a center, and the radius of the circular area is determined according to the distance represented by the corresponding 4G timing advance;

[0035] A prediction module is used to predict the location information of the 5G base station corresponding to the co-site cell based on the measurement report data in the co-site cell.

[0036] In a third aspect, the present application further provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the steps of the above method are implemented.

[0037] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the above method when executed by a processor.

[0038] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which implements the steps of the above method when executed by a processor.

[0039] The above-mentioned base station location determination method, apparatus, electronic device, computer-readable storage medium, and computer program product obtain measurement report data from each base station cell in a target area; the measurement report data includes 4G measurement report points and 4G timing advance; based on the measurement report data, co-sited cells are determined in each base station cell; the degree of overlap between the circular areas corresponding to the base station cells belonging to the same co-sited cell satisfies a preset condition; the circular area is centered at the corresponding 4G measurement report point, and the radius of the circular area is determined according to the distance represented by the corresponding 4G timing advance; based on the measurement report data in the co-sited cell, the location information of the 5G base station corresponding to the co-sited cell is predicted. In this way, by obtaining measurement report data from each base station cell in the target area, wherein the measurement report data includes 4G measurement report points and 4G timing advance, to determine the co-sited cell, the originally scattered measurement report data based on different base stations is integrated into the 5G base station corresponding to the co-sited cell through the co-site, providing a more centralized and relevant data source for subsequent 5G base station location prediction. Furthermore, the location of the 5G base station corresponding to the co-sited cell can be predicted based on the measurement report data within the co-sited cell, allowing the 5G base station location to be predicted based on the measurement report data of the 4G user. In this way, even if the 5G measurement report data itself does not contain longitude and latitude location information, the location of the base station corresponding to the primary cell where the 5G user is located can be predicted. This method can assist in the precise correction of 5G base station location parameters, improve the positioning accuracy of 5G base station location information, and provide support for the optimization and planning of wireless communication networks. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0041] Figure 1 1 is a flow chart of a method for determining a base station location in one embodiment;

[0042] Figure 2 1. A schematic diagram of a flow chart of steps for predicting location information of a 5G base station corresponding to a co-located cell in one embodiment;

[0043] Figure 3 1 is a flow chart of a method for determining a base station position in yet another embodiment;

[0044] Figure 4 A schematic diagram of predicted distribution effects of a target area in one embodiment;

[0045] Figure 5 is a schematic flow chart of a method for determining a base station position in another embodiment;

[0046] Figure 6 is a structural block diagram of a base station location determination device in one embodiment;

[0047] Figure 7 FIG. 1 is a diagram showing the internal structure of an electronic device in one embodiment. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0049] It should be noted that the terms "first," "second," and the like in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or precedence. It should be understood that the numbers used in this manner are interchangeable where appropriate so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure as detailed in the appended claims.

[0050] In one embodiment, Figure 1As shown, a method for determining the location of a base station is provided. This embodiment uses the method as an example to illustrate the application of the method to any electronic device with computing and processing capabilities. In this embodiment, the method includes the following steps:

[0051] Step S110: Obtain measurement report data of each base station cell in the target area.

[0052] The measurement report data includes 4G measurement report points and 4G time advance.

[0053] The target area may refer to an area covered by the communication network, which may be a city, a village, a mountainous area, a coastal area, etc. This application does not specifically limit the shape and size of the target area.

[0054] Measurement report data refers to MR (Measurement Report) data. MR refers to information sent every 480ms on the traffic channel (470ms on the signaling channel). This data can be used for network evaluation and optimization.

[0055] The measurement report data may include 4G measurement report data and 5G measurement report data.

[0056] The 4G measurement report data may be measurement report data reported by any terminal (such as a mobile phone terminal) occupying the 4G network after responding to the measurement control of the network.

[0057] The measurement reporting point may refer to an MR point. The MR point in the 4G measurement report data may refer to the location at which the terminal reported the 4G measurement report data. Specifically, some 4G network terminals support AGPS (Assisted Global Positioning System) capabilities, which can obtain the precise latitude and longitude location information corresponding to the 4G measurement report data.

[0058] Therefore, the MR point in the 4G measurement report data can be named as a 4G measurement report point.

[0059] The timing advance (TA) is the difference between the actual arrival time of a mobile station signal at the base station and the arrival time of the mobile station signal assuming the distance between the mobile station and the base station is zero.

[0060] Among them, the time advance in the 4G measurement report data can be named 4G time advance.

[0061] In a specific implementation, the electronic device may obtain measurement report data reported by terminal devices located in each base station cell in the target area. The base stations in the target area may include 5G base stations and 4G base stations, the base station cells in the target area may include 4G base station cells and 5G base station cells, and the measurement report data within each base station cell in the target area may include 4G measurement report data and 5G measurement report data. The 4G measurement report data may include 4G measurement report points and 4G timing advance.

[0062] In some embodiments, 4G measurement report data may include: 4G base station ID, 4G sector ID, 4G serving cell RSRP (Reference Signal Receiving Power), 4G serving cell TA, location data (longitude and latitude), etc. 5G measurement report data may include: 5G base station ID, 5G sector ID, 5G serving cell RSRP, 5G serving cell TA data, etc., but no location data (longitude and latitude). Therefore, a method for more accurately locating the position of a 5G base station is needed.

[0063] Step S120: Determine a co-sited cell among the base station cells according to the measurement report data.

[0064] Among them, the co-site cell can also be named as the co-station cell.

[0065] The overlapping degree between the circular areas corresponding to the base station cells belonging to the same co-site cell meets the preset conditions.

[0066] The circular area has the 4G measurement reporting point in the corresponding base station cell as its center, and the radius of the circular area is determined according to the distance represented by the 4G timing advance in the corresponding base station cell.

[0067] The 4G timing advance corresponding to a certain 4G measurement report point may refer to the 4G timing advance recorded in the 4G measurement report data recording the 4G measurement report point. That is, the 4G measurement report point and the 4G timing advance carried in the same 4G measurement report data correspond to each other.

[0068] Among them, the circular area can also be named TA circle in practical applications.

[0069] The distance represented by the 4G timing advance TA in the 4G measurement report data may be: 78.12×the timing advance TA value. For example, if the 4G timing advance TA value is 3TA, the distance represented by the 4G timing advance TA may be 78.12×3.

[0070] In a specific implementation, the electronic device can determine co-sited cells within each base station cell based on measurement report data. Specifically, the electronic device can randomly select TA circles (circular areas) drawn with 4GMR points within each base station cell based on the measurement report data within each base station cell. The electronic device can then determine whether the two base station cells are co-sited cells based on whether the degree of overlap between the circular areas corresponding to the two base station cells meets a preset condition.

[0071] Step S130: predict the location information of the 5G base station corresponding to the co-sited cell based on the measurement report data in the co-sited cell.

[0072] In a specific implementation, the electronic device can merge all measurement report data within the co-site cell to obtain a measurement report data set within the co-site cell, and predict the location information of the 5G base station corresponding to the co-site cell based on the measurement report data set within the co-site cell.

[0073] Among them, if multiple groups of co-sited cells are determined in each base station cell, all measurement report data of each group of co-sited cells can be merged, and the location information of the 5G base station corresponding to the group of co-sited cells can be predicted based on the measurement report data set within the group of co-sited cells.

[0074] In the above-mentioned base station location determination method, measurement report data is obtained from each base station cell in the target area; the measurement report data includes 4G measurement report points and 4G time advance; based on the measurement report data, co-sited cells are determined in each base station cell; the degree of overlap between the circular areas corresponding to the base station cells belonging to the same co-sited cell meets a preset condition; the circular area is centered at the corresponding 4G measurement report point, and the radius of the circular area is determined according to the distance represented by the corresponding 4G time advance; based on the measurement report data in the co-sited cell, the location information of the 5G base station corresponding to the co-sited cell is predicted. In this way, by obtaining measurement report data from each base station cell in the target area, wherein the measurement report data includes 4G measurement report points and 4G time advance, to determine the co-sited cell, the originally scattered measurement report data based on different base stations is integrated into the 5G base station corresponding to the co-sited cell through the co-site, providing a more centralized and relevant data source for subsequent 5G base station location prediction. Furthermore, the location of the 5G base station corresponding to the co-sited cell can be predicted based on the measurement report data within the co-sited cell, allowing the 5G base station location to be predicted based on the measurement report data of the 4G user. In this way, even if the 5G measurement report data itself does not contain longitude and latitude location information, the location of the base station corresponding to the primary cell where the 5G user is located can be predicted. This method can assist in the precise correction of 5G base station location parameters, improve the positioning accuracy of 5G base station location information, and provide support for the optimization and planning of wireless communication networks.

[0075] In one embodiment, Figure 2 As shown, step S130, predicting the location information of the 5G base station corresponding to the co-sited cell based on the measurement report data in the co-sited cell, includes the following steps:

[0076] Step S210: determining a target area in the circular area corresponding to each 4G measurement reporting point in the co-site cell.

[0077] The target area is the area where the overlapping degree of the circular areas is the densest.

[0078] Each circular area has a corresponding 4G measurement report point as its center, and the radius of each circular area is determined according to the distance represented by the corresponding 4G time advance.

[0079] In a specific implementation, the electronic device can construct a corresponding annular area based on the 4G measurement reporting points in the co-site cell. Specifically, the annular area corresponding to each 4G measurement reporting point can be constructed by taking each 4G measurement reporting point as the center of the circle and determining the radius based on the distance represented by the 4G timing advance corresponding to each 4G measurement reporting point.

[0080] In this way, the area with the densest overlap can be determined in the circular area corresponding to each 4G measurement reporting point in the co-site cell as the target area.

[0081] Step S220: predict the location information of the 5G base station based on the location information of the center point in the target area.

[0082] In a specific implementation, the electronic device can determine the location information of the 5G base station based on the location information of the center point in the target area as the predicted location information of the 5G base station.

[0083] The technical solution of this embodiment determines a target area within the circular area corresponding to each 4G measurement reporting point in the co-site cell; the target area is the area where the overlapping of the circular areas is the most dense; each circular area is centered on the corresponding 4G measurement reporting point, and the radius of each circular area is determined according to the distance represented by the corresponding 4G time advance; based on the position information of the center point within the target area, the location information of the 5G base station is predicted. In this way, by determining the target area with the densest overlap within the circular area corresponding to each 4G measurement reporting point in the co-site cell, the target area is where the signal is concentrated and is most likely to be close to the base station. Therefore, based on the position information of the center point within the target area, the position of the 5G base station can be more accurately located.

[0084] In one embodiment, the method further includes: for any 4G measurement reporting point in a co-site cell, determining a first radius and a second radius based on the distance represented by the 4G time advance corresponding to any 4G measurement reporting point; the first radius and the second radius are respectively multiples of the distance represented by the 4G time advance; with any 4G measurement reporting point as the center of the circle, constructing a circular area corresponding to any 4G measurement reporting point based on the first radius and the second radius.

[0085] In a specific implementation, for the construction of a circular area corresponding to any 4G measurement reporting point in a co-site cell, the electronic device can determine a first radius and a second radius based on the distance represented by the 4G time advance corresponding to any 4G measurement reporting point, and the first radius and the second radius are respectively multiples of the distance represented by the 4G time advance corresponding to any 4G measurement reporting point. In this way, the electronic device can construct a circular area corresponding to the 4G measurement reporting point with the any 4G measurement reporting point as the center of the circle according to the first radius and the second radius.

[0086] The first radius may be the radius of the inner circle, and the second radius may be the radius of the outer circle. For example, the first radius may be TA × 78.12, and the second radius may be (TA + 1) × 78.12. Alternatively, the first radius may be 0.5TA × 78.12, and the second radius may be 1.5TA × 78.12.

[0087] The technical solution of this embodiment determines a first radius and a second radius for any 4G measurement reporting point within a co-sited cell based on the distance represented by the 4G timing advance corresponding to any 4G measurement reporting point; the first radius and the second radius are each a multiple of the distance represented by the 4G timing advance; and a circular ring area corresponding to any 4G measurement reporting point is constructed based on the first and second radii, with any 4G measurement reporting point as the center. Thus, since the timing advance is associated with the distance between the terminal device and the base station antenna, by determining the first radius and the second radius based on the distance represented by the 4G timing advance corresponding to any 4G measurement reporting point, a circular ring area corresponding to any 4G measurement reporting point is constructed based on the first and second radii, with any 4G measurement reporting point as the center. These circular ring areas can, to a certain extent, reflect the possible range of signal propagation from the base station to the terminal device. By analyzing these circular ring areas, the approximate range of the base station location can be more accurately determined to perform preliminary positioning of the base station location. Furthermore, the area between the inner circle and the circular ring within the circular ring area can further narrow the possible range of the base station location, making subsequent positioning analysis more detailed and accurate, and facilitating the search for the area that best matches the actual location of the base station.

[0088] In one embodiment, a target area is determined in the circular area corresponding to each 4G measurement reporting point in the co-site cell, including: rasterizing the overlapping areas of the circular areas to obtain grids in the overlapping areas; screening out candidate grids from the grids in the overlapping areas; and using the area corresponding to the candidate grids as the target area.

[0089] The number of overlaps of the candidate grids meets a preset number threshold.

[0090] Wherein, when the number of grid overlaps is greater than or equal to a preset number threshold, it is determined that the number of grid overlaps meets the preset number threshold.

[0091] In a specific implementation, when the electronic device determines the target area in the circular area corresponding to each 4G measurement reporting point in the co-site cell, the electronic device can perform rasterization processing on the overlapping areas of each circular area to obtain a grid in the overlapping area (size is s×s); for example, the grid size can be 10m×10m, and the grids in the overlapping area whose number of overlaps meets a preset number threshold are screened out as candidate grids; the area corresponding to the candidate grid is used as the target area with the densest overlap.

[0092] The technical solution of this embodiment rasterizes the overlapping areas of each circular area to obtain a grid within the overlapping area; then, candidate grids are selected from the grids within the overlapping area; the number of overlaps of the candidate grids satisfies a preset threshold; and the area corresponding to the candidate grids is determined as the target area. Thus, by rasterizing the overlapping areas of each circular area, calculating the number of overlaps of the grids within the overlapping area, and determining the target area with the most dense overlap, not only can the target area with the most dense overlap be efficiently and accurately determined based on the number of grid overlaps, but this refined processing method also helps improve positioning resolution.

[0093] In one embodiment, the location information of the 5G base station is predicted based on the location information of the center point in the target area, including: obtaining the calibrated position of the 5G base station recorded in the engineering parameter record data; determining the target grid in the target area; the distance between the center point of the target grid and the calibrated position meets the preset distance condition; and predicting the location information of the 5G base station based on the location information of the center point of the target grid.

[0094] Among them, the latitude and longitude information of the 5G base station input manually is recorded in the engineering parameter ledger data. The latitude and longitude information of the 5G base station in the engineering parameter ledger data is used to represent the calibrated position of the 5G base station.

[0095] In a specific implementation, when the electronic device predicts the location information of the 5G base station based on the location information of the center point in the target area, the electronic device can obtain the calibrated position of the 5G base station recorded in the engineering parameter record data; and determine the target grid based on the distance between the center point of each candidate grid in the target area and the calibrated position. The distance between the center point of the target grid and the calibrated position meets the preset distance condition.

[0096] In some embodiments, candidate grids may be screened for those whose center-point distance to the calibration position satisfies a preset distance threshold (e.g., less than or equal to the preset distance threshold). These grids are then selected as target grids whose center-point distance to the calibration position satisfies the preset distance condition. If multiple candidate grids are screened, the candidate grid with the shortest distance between the center point and the calibration position is selected as the target grid.

[0097] In this way, the location information of the 5G base station can be predicted based on the location information of the center point of the target grid. In some embodiments, the longitude and latitude coordinates of the center point of the target grid can be used as the predicted location of the 5G base station.

[0098] The technical solution of this embodiment is to obtain the calibrated position recorded in the industrial parameter record data of the 5G base station; determine the target grid in the target area; the distance between the center point of the target grid and the calibrated position meets the preset distance condition; and predict the position information of the 5G base station based on the position information of the center point of the target grid. In this way, after filtering out the target area with the densest overlap based on the rasterization process, the target grid whose center point meets the preset distance condition with the calibrated position recorded in the industrial parameter record data of the 5G base station is filtered out in the target area, and the 5G base station position is predicted. This can achieve more accurate screening of the grid that is most likely to contain the true position of the 5G base station based on the pre-calibrated calibration position, thereby predicting the position information of the 5G base station based on the position information of the center point of the target grid. Compared with directly predicting the 5G base station position by calculating the intersection coordinates of the circular area, this can simplify the calculation complexity, improve the calculation efficiency, and also make the prediction process more efficient.

[0099] In one embodiment, the measurement report data also includes a site code; based on the measurement report data, the co-site cell is determined in each base station cell, including: aggregating the measurement report data of the base station cells corresponding to the same site code to obtain the measurement report data of the aggregated cell; and determining the co-site cell based on the measurement report data of the aggregated cell.

[0100] Among them, the aggregated cell refers to the base station cell corresponding to the same site code.

[0101] In a specific implementation, when an electronic device determines a co-located cell among various base station cells based on measurement report data, it can aggregate the measurement report data of base station cells corresponding to the same address code according to the address code recorded in the measurement report data to obtain the measurement report data of the aggregated cell; and determine the co-located cell based on the measurement report data of the aggregated cell. In this way, a database of associations between co-located base station identifiers (enb_id) and cell identifiers (cell_id) can be established. Based on the association database, the 5G base station corresponding to the co-located cell can be determined, thereby predicting the location information of the 5G base station corresponding to the co-located cell.

[0102] The co-sited base station identifier may be used to identify the co-sited base station.

[0103] The cell identifier can be used to identify the base station cell.

[0104] In the technical solution of this embodiment, the measurement report data also includes a station address code; the measurement report data of the aggregated cell is obtained by aggregating the measurement report data of the base station cells corresponding to the same station address code; the co-sited cell is determined based on the measurement report data of the aggregated cell. In this way, a relationship library of co-sited base stations and cells can be constructed based on the co-sited cells, which not only simplifies the base station identity conversion process in subsequent data processing, but also improves the total amount of the data set and the accuracy and efficiency of data processing, providing a more reliable data basis for base station location prediction.

[0105] In one embodiment, co-sited cells are determined based on measurement report data of aggregated cells, including: for any two base station cells in the aggregated cells, 4G measurement report points are randomly extracted from the measurement report data of any two base station cells within a preset number of times, and circular areas corresponding to the 4G measurement report points extracted each time are constructed; the circular area has the 4G measurement report point as the center and the distance represented by the corresponding 4G time advance as the radius; overlap detection is performed on the circular areas corresponding to the 4G measurement report point extracted each time, and the number of overlaps detected is recorded; when the number of overlaps meets the preset number threshold, any two base station cells are determined to be co-sited cells.

[0106] The circular area has the 4G measurement report point as its center and the distance represented by the corresponding 4G time advance as its radius.

[0107] In a specific implementation, when the electronic device determines the co-site cell based on the measurement report data of the aggregated cell, for any two base station cells in the aggregated cell, the electronic device can randomly extract 4G measurement report points from the measurement report data of any two base station cells within a preset number of times, and construct a circular area corresponding to the 4G measurement report point extracted each time; wherein the circular area has the 4G measurement report point as the center and the distance represented by the corresponding 4G time advance as the radius.

[0108] The electronic device can perform overlap detection on the circular areas corresponding to the 4G measurement report points extracted each time, record the number of overlaps detected, and determine that any two base station cells are co-sited cells when the number of overlaps meets a preset number threshold.

[0109] In actual applications, the electronic device may record the ratio of the number of overlaps to a preset number of overlaps, and determine that the arbitrary two base station cells are co-sited cells when the ratio is greater than or equal to a preset ratio threshold.

[0110] Furthermore, the electronic device may perform co-site determination for every two base station cells within the aggregated cell, thereby determining the co-sited cells.

[0111] The technical solution of this embodiment is to randomly extract 4G measurement report points from the measurement report data of any two base station cells in the aggregated cell within a preset number of times, and construct a circular area corresponding to the 4G measurement report point extracted each time; the circular area takes the 4G measurement report point as the center and the distance represented by the corresponding 4G time advance as the radius; overlap detection is performed on the circular area corresponding to the 4G measurement report point extracted each time, and the number of overlaps detected is recorded; when the number of overlaps meets the preset number threshold, the any two base station cells are determined to be co-sited cells.

[0112] In this way, by randomly extracting 4G measurement report points from the measurement report data of any two base station cells within a preset number of times, a circular area corresponding to the 4G measurement report point extracted each time is constructed. Only when the number of overlaps detected meets the preset number threshold can any two base station cells be determined to be co-sited cells, avoiding the randomness of relying solely on a single or a small amount of data for judgment, so that the judgment result can better reflect the actual co-site relationship between the two base station cells in the long term and under multiple circumstances, thereby significantly improving the accuracy of the co-site judgment result.

[0113] In yet another embodiment, Figure 3 As shown in FIG, a flow chart of a method for determining a base station location is provided. Figure 3 As shown, the following steps are included:

[0114] Establish a co-located cell MR dataset: First, based on the MR data within each base station cell in the target area, establish an association relationship library between the co-located base station identifier (enb_id) and the cell identifier (cell_id). Specifically, aggregate the MR data of base station cells using the site code. For every two base station cells, determine whether they are co-located. Randomly extract 4G MR points of every two base station cells n times (a preset number of times) to construct TA circles. Use the MR data of the base station cells for which the proportion of the number of intersecting TA circles exceeds the set threshold as the MR dataset of co-located cells.

[0115] In the process of aggregating the MR data of base station cells using the site code and determining whether every two base station cells are co-located, assume the number of 4G measurement report points of two base station cells are C1 and C2 respectively. Randomly extract 4G measurement report points from the two base station cells to be determined, with a total of tot_cnt = C1 + C2 extractions. Determine whether the 4G measurement report points extracted each time satisfy the intersection of TA circles, that is, calculate the TA radii (the distances represented by the corresponding 4G time advance) r1 and r2 corresponding to the two 4G measurement report points respectively, and then make a judgment with the distance d between the two 4G measurement report points. Record the number of intersections (overlaps) that satisfy |r1 - r2| - x < d < r1 + r2 + x. Only when the proportion of the number of intersections exceeds the preset proportion threshold (a preset ratio threshold, such as 80%, and the specific value is set according to actual needs and will not be specifically limited here) is it considered that these two base station cells belong to co-located cells. Here, x refers to the recognition accuracy, for example, it can be 200m, and the specific value can be set according to actual needs.

[0116] Obtain the candidate set of base station locations: Merge the MR data of all the same co-located cells. Construct a corresponding circular ring area for each 4G measurement report point in this MR dataset, and obtain the longitude and latitude of the center points of at least two grids (n*n) with the most intensive overlap of these circular ring areas as the candidate set of pending base station locations. That is, screen out the candidate grids whose number of overlaps satisfies the preset number threshold from the grids in the overlapping area of the circular ring areas. The longitude and latitude of the center points of each candidate grid are used as the candidate set of pending base station locations.

[0117] In practical applications, grids with the number of overlaps greater than or equal to 3 times and greater than half of the maximum number of overlaps can be selected as candidate grids.

[0118] Predicting the location of 5G base stations: Based on the user location information in the above-mentioned MR dataset, a spatial analysis method is used. Identify areas where the areas of these circular rings overlap densely, and determine the center points of at least two of the most reliable n*n grids. Calculate the distance between these at least two center points and the calibrated positions of the 5G base stations that need to be corrected in the engineering parameter ledger data. Select the center point with the shortest distance that meets the preset distance threshold (such as less than or equal to 1 meter, the specific value is not specifically limited here) as the predicted location point of the 5G base station. The longitude and latitude coordinates of this center point are regarded as the predicted location of the target 5G base station. That is, determine the target grid in the target area; the distance between the center point of the target grid and the calibrated position meets the preset distance condition; and predict the location information of the 5G base station based on the location information of the center point of the target grid.

[0119] In summary, this method uses MR data processing and spatial analysis technology to accurately predict the location of 5G base stations. Manual verification and calibration are performed based on the distance error between the predicted position and the distance recorded in the ledger work parameter data to achieve base station correction. After the base station position is corrected, the user's positioning accuracy will be improved, providing more reliable support for the planning and optimization of wireless communication networks.

[0120] This solution uses Province A as the target area and takes all MR data of base station cells in Province A. Only when the intersecting TA circles account for more than 80% will it be considered a co-sited cell; multiple aggregation points with high probability are recommended, compared with the calibration positions recorded in the ledger engineering parameter data, and the best matching point is selected as the prediction point. The final recognition accuracy within 200 meters increased from 85% to 93%, with a significant improvement. Figure 4 As shown, a schematic distribution diagram of the predicted effect of Province A is provided.

[0121] In another embodiment, Figure 5 As shown, a method for determining a base station location is provided, which is described by taking the method applied to an electronic device as an example, and includes the following steps:

[0122] Step S502: Obtain measurement report data of each base station cell in the target area.

[0123] Step S504: Aggregate the measurement report data of base station cells corresponding to the same site code to obtain the measurement report data of the aggregated cell.

[0124] Step S506: For any two base station cells in the aggregated cell, 4G measurement report points are randomly extracted from the measurement report data of any two base station cells within a preset number of times, and circular areas corresponding to the 4G measurement report points extracted each time are constructed.

[0125] Step S508: Perform overlap detection on the circular areas corresponding to the 4G measurement report points extracted each time, and record the number of overlaps detected.

[0126] Step S510: When the number of overlaps meets a preset number threshold, it is determined that any two base station cells are co-sited cells.

[0127] Step S512: For any 4G measurement reporting point in the co-sited cell, determine a first radius and a second radius according to a distance represented by a 4G timing advance corresponding to any 4G measurement reporting point.

[0128] Step S514: With any 4G measurement report point as the center, a circular area corresponding to any 4G measurement report point is constructed according to the first radius and the second radius.

[0129] Step S516 , performing rasterization processing on the overlapping areas of the circular areas to obtain a grid in the overlapping areas.

[0130] Step S518: Select candidate grids from the grids in the overlapping area.

[0131] Step S520: The area corresponding to the candidate grid is used as the target area.

[0132] Step S522: Obtain the calibration position of the 5G base station recorded in the engineering parameter record data.

[0133] Step S524: determining a target grid in the target area.

[0134] Step S526: predict the location information of the 5G base station based on the location information of the center point of the target grid.

[0135] It should be noted that the specific limitations of the above steps can refer to the specific limitations of a base station location determination method above.

[0136] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0137] Based on the same inventive concept, embodiments of the present application also provide a base station location determination apparatus for implementing the aforementioned base station location determination method. The solution provided by this apparatus is similar to the solution described in the aforementioned method. Therefore, the specific limitations in one or more base station location determination apparatus embodiments provided below can be found in the aforementioned limitations of the base station location determination method and will not be further elaborated here.

[0138] In an exemplary embodiment, Figure 6 As shown, a base station location determination device is provided, including: an acquisition module 610, a determination module 620 and a prediction module 630, wherein:

[0139] The acquisition module 610 is configured to acquire measurement report data within each base station cell in the target area; the measurement report data includes 4G measurement report points and 4G timing advance.

[0140] Determination module 620 is used to determine the co-site cell in each of the base station cells based on the measurement report data; the degree of overlap between the circular areas corresponding to the base station cells belonging to the same co-site cell meets the preset conditions; the circular area has the corresponding 4G measurement report point as the center, and the radius of the circular area is determined according to the distance represented by the corresponding 4G time advance.

[0141] The prediction module 630 is used to predict the location information of the 5G base station corresponding to the co-site cell based on the measurement report data in the co-site cell.

[0142] In one embodiment, the prediction module 630 is specifically used to determine the target area in the circular area corresponding to each of the 4G measurement reporting points in the co-site cell; the target area is the area where the circular areas overlap most densely; each of the circular areas has the corresponding 4G measurement reporting point as the center, and the radius of each of the circular areas is determined according to the distance represented by the corresponding 4G time advance; based on the position information of the center point in the target area, the position information of the 5G base station is predicted.

[0143] In one embodiment, the prediction module 630 is specifically used to perform rasterization processing on the overlapping areas of each of the circular areas to obtain grids in the overlapping areas; screen out candidate grids from the grids in the overlapping areas; the number of overlaps of the candidate grids meets a preset number threshold; and use the area corresponding to the candidate grid as the target area.

[0144] In one embodiment, the prediction module 630 is specifically used to obtain the calibrated position of the 5G base station recorded in the engineering parameter record data; determine the target grid in the target area; the distance between the center point of the target grid and the calibrated position meets the preset distance condition; and predict the position information of the 5G base station based on the position information of the center point of the target grid.

[0145] In one of the embodiments, the measurement report data also includes a station address code; the determination module 620 is specifically used to aggregate the measurement report data of the base station cells corresponding to the same station address code to obtain the measurement report data of the aggregated cells; and determine the co-site cell based on the measurement report data of the aggregated cells.

[0146] In one embodiment, the determination module 620 is specifically used to randomly extract 4G measurement report points from the measurement report data of any two base station cells in the aggregated cell within a preset number of times, and construct circular areas corresponding to the 4G measurement report points extracted each time; the circular area takes the 4G measurement report point as the center and the distance represented by the corresponding 4G time advance as the radius; overlap detection is performed on the circular areas corresponding to the 4G measurement report point extracted each time, and the number of overlaps detected is recorded; when the number of overlaps meets the preset number threshold, any two base station cells are determined to be the co-site cells.

[0147] In one embodiment, the device also includes: a construction module for determining a first radius and a second radius for any 4G measurement reporting point within the co-site cell, based on the distance represented by the 4G time advance corresponding to any 4G measurement reporting point; the first radius and the second radius are respectively multiples of the distance represented by the 4G time advance; with any 4G measurement reporting point as the center of the circle, a circular area corresponding to any 4G measurement reporting point is constructed based on the first radius and the second radius.

[0148] Each module in the above-mentioned base station location determination device can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in an electronic device in hardware form, or can be stored in a memory in the electronic device in software form, so that the processor can call and execute the corresponding operations of each module.

[0149] In an exemplary embodiment, an electronic device is provided. The electronic device may be a server, and its internal structure diagram may be as shown in FIG. Figure 7As shown. The electronic device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the electronic device is used to store measurement report data. The input / output interface of the electronic device is used to exchange information between the processor and an external device. The communication interface of the electronic device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a base station location determination method is implemented.

[0150] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the electronic device to which the solution of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0151] In one embodiment, an electronic device is further provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0152] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0153] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0154] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0155] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), quantum computing-based data processing logic devices, artificial intelligence (AI) processors, and the like.

[0156] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0157] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for determining a base station location, characterized in that: The method comprises: Obtaining measurement report data within each base station cell in the target area; the measurement report data includes 4G measurement report points and 4G time advance; Determining a co-sited cell in each of the base station cells based on the measurement report data; a degree of overlap between circular areas corresponding to base station cells belonging to the same co-sited cell satisfies a preset condition; the circular area has a corresponding 4G measurement report point as a center, and a radius of the circular area is determined according to a distance represented by a corresponding 4G timing advance; Based on the measurement report data within the co-site cell, predict the location information of the 5G base station corresponding to the co-site cell.

2. The method according to claim 1, characterized in that The predicting, based on the measurement report data in the co-site cell, the location information of the 5G base station corresponding to the co-site cell includes: Determining a target area in the circular area corresponding to each of the 4G measurement reporting points in the co-site cell; the target area is the area where the circular areas overlap most densely; each of the circular areas has the corresponding 4G measurement reporting point as its center, and the radius of each of the circular areas is determined according to the distance represented by the corresponding 4G timing advance; The location information of the 5G base station is predicted based on the location information of the center point in the target area.

3. The method according to claim 2, characterized in that Determining the target area in the circular area corresponding to each of the 4G measurement reporting points in the co-site cell includes: Performing a rasterization process on the overlapping area of ​​each of the circular areas to obtain a grid in the overlapping area; Selecting candidate grids from the grids in the overlapping area; wherein the number of overlaps of the candidate grids satisfies a preset number threshold; The area corresponding to the candidate grid is used as the target area.

4. The method according to claim 3, characterized in that The predicting the location information of the 5G base station according to the location information of the center point in the target area includes: Obtain the calibration position of the 5G base station recorded in the engineering parameter ledger data; Determine a target grid in the target area; the distance between the center point of the target grid and the calibration position meets a preset distance condition; The location information of the 5G base station is predicted based on the location information of the center point of the target grid.

5. The method according to claim 1, wherein The measurement report data further includes a station address code; and determining a co-sited cell in each of the base station cells according to the measurement report data includes: Aggregating measurement report data of base station cells corresponding to the same site code to obtain measurement report data of aggregated cells; The co-site cell is determined according to the measurement report data of the aggregated cell.

6. The method according to claim 5, characterized in that The determining the co-site cell according to the measurement report data of the aggregated cell includes: For any two base station cells in the aggregated cell, randomly extract 4G measurement report points from the measurement report data of any two base station cells within a preset number of times, and construct a circular area corresponding to each of the extracted 4G measurement report points; the circular area has the 4G measurement report point as the center and the distance represented by the corresponding 4G timing advance as the radius; Perform overlap detection on the circular areas corresponding to the 4G measurement report points extracted each time, and record the number of overlaps detected; When the number of overlaps meets a preset number threshold, any two base station cells are determined to be co-sited cells.

7. The method according to claim 2, characterized in that The method further comprises: For any 4G measurement reporting point within the co-site cell, determine a first radius and a second radius based on the distance represented by the 4G timing advance corresponding to the any 4G measurement reporting point; the first radius and the second radius are respectively multiples of the distance represented by the 4G timing advance; With any one of the 4G measurement reporting points as the center of the circle, a circular area corresponding to the any one of the 4G measurement reporting points is constructed according to the first radius and the second radius.

8. A base station location determination device, characterized in that: The device comprises: An acquisition module is configured to acquire measurement report data within each base station cell in a target area; the measurement report data includes 4G measurement report points and 4G timing advance; a determination module, configured to determine, based on the measurement report data, a co-sited cell in each of the base station cells; wherein the degree of overlap between the circular areas corresponding to the base station cells belonging to the same co-sited cell satisfies a preset condition; wherein the circular area has the corresponding 4G measurement report point as a center, and the radius of the circular area is determined according to the distance represented by the corresponding 4G timing advance; A prediction module is used to predict the location information of the 5G base station corresponding to the co-site cell based on the measurement report data in the co-site cell.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

11. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

Images